10-Year Look Back - Chan Zuckerberg Initiative
webThis is a philanthropic retrospective from CZI, tangentially relevant to AI safety as context for how major tech-linked foundations are deploying AI in science and education; not a technical AI safety resource.
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Summary
The Chan Zuckerberg Initiative reflects on its first 10 years of philanthropic work across biomedical science, education, and community support. Key bets include the Biohub research model, AI tools for science and education, and open-source infrastructure for biological data. The piece highlights how technology—including AI—has been used to accelerate research breakthroughs and improve learning outcomes.
Key Points
- •CZI launched the Biohub model in 2016, expanding to Chicago, New York, and Seattle hubs, enabling cross-disciplinary biomedical research.
- •AI and machine learning tools have been central to CZI's science strategy, including cell mapping and real-time biological imaging.
- •CZI has invested in open-source scientific infrastructure and data-sharing platforms to accelerate discovery.
- •Education initiatives include developing AI tools designed to align with how students learn, in partnership with teachers and researchers.
- •The organization has pursued long-horizon, high-risk bets rather than incremental funding, exemplified by pandemic response and rare disease research.
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10 Years of Big Bets and Big Breakthroughs - CZI Blog
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Dec 1, 2025 ·
15 min read
Celebrating 10 Years of Big Bets and Big Breakthroughs
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Community , COVID-19 , Education , Science , Technology
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M ark Zuckerberg and Priscilla Chan started the Chan Zuckerberg Initiative in 2016 to advance science, improve education, and support local communities. Driving progress on these goals required big bets — on the scientists asking bold questions, the technology that could accelerate breakthroughs, and the communities shaping solutions close to home.
A decade later, we can see what these bets made possible. We’ve built tools that enable scientists to watch inflammation unfold in real-time and map the human body down to a single cell. We’ve forged partnerships with patient communities that have turned diagnoses into discoveries, and with teachers and researchers who are shaping AI tools designed to better connect the way students learn to the tools they learn with.
To celebrate 10 years of CZI, here are 10 big bets we’ve made, what they’ve unlocked, and how they’re shaping breakthroughs.
1. The Biohub Model
At Biohub, we partner with brilliant researchers to tackle complex problems in science, collaborate across disciplines and institutions to drive fundamental biomedical research, develop powerful tools and techniques, and ultimately, make discoveries that could not happen in any other setting. This model has proven successful, first launched in the Bay Area in 2016 and expanded in 2023 to other regions, including Chicago and New York . We also have a partnership for a Seattle Hub and founded the Kempner Institute to study natural and artificial intelligence .
In San Francisco, when doctors were puzzled by MIS-C — a rare condition where some children who’d recovered from COVID-19 suddenly developed severe inflammation and organ failure — President Emeritus of Biohub San Francisco Joe DeRisi and a team of scientists came together to identify the mechanism behind many of these cases . Using a tool called PhIP-Seq, they discovered these children were producing antibodies that targeted not only the virus, but also their own immune system — opening new pathways for understanding autoimmune diseases more broadly.
Shana Kelley, bioengineering president and head of Biohub Chicago, describes how new sensors that can see inflammation as it happens could change how we understand and prevent disease.
In Chicago, Biohub Bioengineering President Shana Kelley and her team are building miniature protein sensors to measure inflammation as it rises and falls . Just as continuous glucose monitors transformed diabetes care, these biosensors could do the same for various conditions, helping doctors catch early signals before symptoms appear — f
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